Application of the Acoustic Impedance (AI) Seismic Inversion and Multi-Attribute Method for Reservoir Characterization in Bonaparte Basin

Maurin Puspitasari (Department of Physics, Faculty of Science and Technology, Syarif Hidayatullah Islamic State University, Ir. H. Djuanda St, No. 95, Cempaka Putih, Ciputat, South Tangerang, Banten 15412, Indonesia)
Ambran Hartono (Department of Physics, Faculty of Science and Technology, Syarif Hidayatullah Islamic State University, Ir. H. Djuanda St, No. 95, Cempaka Putih, Ciputat, South Tangerang, Banten 15412, Indonesia)
Egie Wijaksono (Exploration Building 3 Research and Development Center for Oil and Gas Technology (PPPTMGB) LEMIGAS, Ciledug Raya Kavling 109 Cipulir St, Kebayoran Lama, South Jakarta City, Jakarta 12230, Indonesia)
Tati Zera (Department of Physics, Faculty of Science and Technology, Syarif Hidayatullah Islamic State University, Ir. H. Djuanda St, No. 95, Cempaka Putih, Ciputat, South Tangerang, Banten 15412, Indonesia)

Al-Fiziya: Journal of Materials Science, Geophysics, Instrumentation and Theoretical Physics
Al-Fiziya: Journal of Materials Science, Geophysics, Instrumentation and Theoretical Physics | Vol.4

Research on the application of the acoustic impedance (AI) seismic inversion and multi-attribute method was conducted with the aim to characterize the reservoir in the Bonaparte Basin. The modeling which used in the acoustic impedance inversion seismic method is model-based. Meanwhile, the multi-attribute seismic method used log porosity that appliying the linear regression method and using the stepwise regression technique. Based on the result of the sensitivity analysis and analysis using the seismic inversion acoustic impedance method, the sandstone reservoir zone that has the prospect of hydrocarbons containing gas is located in the Northeast-Southwest part of the study area which in WCB-1, WCB-3 and WCB-4 well with the acoustic impedance values are in the range of 4,800 - 13,000 (m / s) * (g / cc), and the porosity values generated from the analysis using the multi-attribute seismic method are in the range of 5 - 16% in WCB-1 and WCB-4, 2 - 10% on WCB-3.